Jorge Luis Sanchez Lozano

Consultative Group on International Agricultural Research | CGIAR

Floods impact communities worldwide, resulting in loss of life, damaged infrastructure and natural assets, and threatened livelihoods. Climate change and urban development in flood‐prone areas will continue to worsen flood‐related losses, increasing the urgency for effective tools to monitor recovery. Many Earth Observation (EO) applications exist...

Floods impact communities worldwide, resulting in an estimated $651 billion (USD) in damages, countless fatalities, and threatened livelihoods over the last two decades alone. Climate change and urban development in flood-prone areas will continue to worsen flood-related losses increasing the urgency for effective tools to monitor recovery. Many Ea...

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Accurately assessing groundwater storage changes in Niger is critical for long-term water resource management but is difficult due to sparse field data. We present a study of groundwater storage changes and recharge in Southern Niger, computed using data from NASA Gravity Recovery and Climate Experiment (GRACE) mission. We compute a groundwater sto...

The Hindu Kush Himalayan region is extremely susceptible to periodic monsoon floods. Early warning systems with the ability to predict floods in advance can benefit tens of millions of people living in the region. Two web-based flood forecasting tools (ECMWF-SPT and HIWAT-SPT) are therefore developed and deployed jointly by SERVIR-HKH and NASA-AST...

We present the design and development of an open-source web application called Water Data Explorer (WDE), designed to retrieve water resources observation and model data from data catalogs that follow the WaterOneFlow and WaterML Service-Oriented Architecture standards. WDE is a fully customizable web application built using the Tethys Platform dev...

We present the development and testing of a web application called the historical validation tool (HVT) that processes and visualizes observed and simulated historical stream discharge data from the global GEOGloWS ECMWF streamflow services (GESS), performs seasonally adjusted bias correction, computes goodness-of-fit metrics, and performs forward...

Global or national scale flood early warning systems (FEWS) can benefit developing countries and ungauged regions that lack observational data, computational infrastructure, and/or the human capacity for streamflow modelling. Existing land surface models (LSM) typically generate forecasts using coarse resolution grid cells which, at least for strea...

This thesis presents the coupled hydrological and hydraulic model of the complex Magdalena River system, as an important step towards knowledge-based river management. Magdalena River is the largest river of Colombia. It drains a catchment of 257,000 km2 and is home to 38 million people. The decision making with respect to water management in Colom...

This paper presents a model of the complex Magdalena River system, as an important step towards knowledge-based river management and flood risk management in Colombia, with due attention for both human and ecosystem interests.Rio Magdalena is the largest river of Colombia. It drains a catchment of 257,000 square kilometers and is home to 38 million...

In this regard, the river behavior could be modeled hydraulically; for it, is great to know inflows received along therivercourse. In Magdalena-Cauca basin has been found a serious of information deficiency in tributaries flow near toits mouth. As there are informationonly in 15 of the 42 principal tributaries.Hydrological modeling is an alternativ...

Due to the strategic importance of river transportation on the Magdalena River at the current Colombia´s development plan, Cormagdalena, as managing entity of the Magdalena river basin in Colombia, is building an unsteady numerical model for the flow and sediment transport dynamics for the Magdalena River (Colombia). This work shows the recent adva...

This paper presents a brief description of the scope and project phases, activities and preliminary results of the hydraulic model of Magdalena River in one and two dimensions. Likewise comments are made regarding the expectations and potential of the model and the lessons learned in its development process. As first step the available data was col...

Knowing the contribution in terms of flow, with each sub-basin contributes to the mainstream of the Magdalena River, is important for understanding the dynamics and hydrodynamic thereof and have tools for making -decision. The shortage of information in this area has led to the implementation of hydrological models as an alternative to fill this de...

One of the recurring problems in hydrology modelling is the intermittent nature of the information sampled by the network. This can severely affect the reliability of the calibration and validation of the models implementation. Therefore it is necessary to use methodologies for data interpolation. In this work is estimated the missing data of the d...

This paper presents a brief description of the scope and project phases, activities and preliminary results of the initial construction phase of the hydraulic model of the Magdalena River in one and two dimensions. Likewise comments are made regarding the expectations and potential of the model and the lessons learned in its development process. As...

This paper presents a brief description of the scope and project phases, activities and preliminary results of the initial construction phase of the hydraulic model of the Magdalena River in one and two dimensions. Likewise comments are made regarding the expectations and potential of the model and the lessons learned in its development process. As...

Wetlands perform ecological functions, environmental hydraulics and representing numerous benefits to society. Wetlands neighborhood Las Ferias in the town of La Dorada have been impacted by various human activities that have affected its ecological, hydraulics and environmental balance. Based on the analysis of hydrological data, using the SCS met...